Yonghe Chu

According to our database, Yonghe Chu authored at least 42 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hyperspectral image classification using feature fusion fuzzy graph broad network.

Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu

Inf. Sci., 2025

2024

Topic-aware cosine graph convolutional neural network for short text classification.

Changrong Min, Yonghe Chu, Hongfei Lin, Bolin Wang, Liang Yang, Bo Xu

Soft Comput., July, 2024

Multi-mechanism neural machine translation framework for automatic program repair.

Heling Cao, Dong Han, Yonghe Chu, Fangchao Tian, Yun Wang, Yu Liu, Junliang Jia, Haoyang Ge

J. Intell. Fuzzy Syst., 2024

Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction.

Bocheng Guo, Jiana Meng, Di Zhao, Xiangxing Jia, Yonghe Chu, Hongfei Lin

J. Biomed. Informatics, 2024

Global-local manifold embedding broad graph convolutional network for hyperspectral image classification.

Heling Cao, Jun Cao, Yonghe Chu, Yun Wang, Guangen Liu, Peng Li

Neurocomputing, 2024

2023

Refined SBERT: Representing sentence BERT in manifold space.

Yonghe Chu, Heling Cao, Yufeng Diao, Hongfei Lin

Neurocomputing, October, 2023

Software multi-fault localization via Chameleon clustering in parallel.

Heling Cao, Yonghe Chu, Chenyang Zhao, Miaolei Deng

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Local discriminative graph convolutional networks for text classification.

Bolin Wang, Yuanyuan Sun, Yonghe Chu, Changrong Min, Zhihao Yang, Hongfei Lin

Multim. Syst., August, 2023

A coincidental correctness test case identification framework with fuzzy C-means clustering.

Heling Cao, Lei Li, Yonghe Chu, Miaolei Deng, Panpan Wang, Chenyang Zhao

Multim. Syst., June, 2023

Adaptive Context-Embedded Hypergraph Convolutional Network for Session-based Recommendation.

Chenyang Zhao, Heling Cao, Pengtao Lv, Yonghe Chu, Feng Wang, Tianli Liao

Inf. Technol. Control., March, 2023

Automatic Repair of Java Programs with Mixed Granularity and Variable Mapping.

Heling Cao, Zhiying Cui, Miaolei Deng, Yonghe Chu, Yangxia Meng

Inf. Technol. Control., March, 2023

Software multiple-fault localization using particle swarm optimization via genetic operation.

Heling Cao, Fei Wang, Miaolei Deng, Xianyong Wang, Yonghe Chu

J. King Saud Univ. Comput. Inf. Sci., 2023

Local sensitive discriminative broad learning system for hyperspectral image classification.

Heling Cao, Changlong Song, Yonghe Chu, Chenyang Zhao, Miaolei Deng, Guangen Liu

Eng. Appl. Artif. Intell., 2023

2022

Global-locality preserving projection for word embedding.

Bolin Wang, Yuanyuan Sun, Yonghe Chu, Zhihao Yang, Hongfei Lin

Int. J. Mach. Learn. Cybern., 2022

Automatic Repair of Java Programs Weighted Fusion Similarity via Genetic Programming.

Heling Cao, Zhenghaohe He, Yangxia Meng, Yonghe Chu

Inf. Technol. Control., 2022

Manifold biomedical text sentence embedding.

Bolin Wang, Yuanyuan Sun, Yonghe Chu, Hongfei Lin, Di Zhao, Liang Yang, Chen Shen, Zhihao Yang, Jian Wang

Neurocomputing, 2022

Refining electronic medical records representation in manifold subspace.

Bolin Wang, Yuanyuan Sun, Yonghe Chu, Di Zhao, Zhihao Yang, Jian Wang

BMC Bioinform., 2022

2021

Emotion cause detection with enhanced-representation attention convolutional-context network.

Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu

Soft Comput., 2021

Sentence representation with manifold learning for biomedical texts.

Di Zhao, Jian Wang, Hongfei Lin, Yonghe Chu, Yan Wang, Yi-Jia Zhang, Zhihao Yang

Knowl. Based Syst., 2021

Improving biomedical word representation with locally linear embedding.

Di Zhao, Jian Wang, Yonghe Chu, Yijia Zhang, Zhihao Yang, Hongfei Lin

Neurocomputing, 2021

Hyperspectral image classification with discriminative manifold broad learning system.

Yonghe Chu, Hongfei Lin, Liang Yang, Shichang Sun, Yufeng Diao, Changrong Min, Xiaochao Fan, Chen Shen

Neurocomputing, 2021

GAR: Graph adversarial representation for adverse drug event detection on Twitter.

Chen Shen, Zhiheng Li, Yonghe Chu, Zhongying Zhao

Appl. Soft Comput., 2021

Automated Repair of Java Programs with Random Search via Code Similarity.

Heling Cao, Fangzheng Liu, Jianshu Shi, Yonghe Chu, Miaolei Deng

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Mixed Granularity and Variable Mapping based Automatic Software Repair.

Heling Cao, Zhiying Cui, Yangxia Meng, Yonghe Chu, Lei Li

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Locality Preserving Sentence Encoding.

Changrong Min, Yonghe Chu, Liang Yang, Bo Xu, Hongfei Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network.

Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Dongyu Zhang, Kan Xu

Neural Comput. Appl., 2020

Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction.

Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu, Bo Xu

Neural Comput. Appl., 2020

Fuzzy ELM for classification based on feature space.

Yonghe Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Shaowu Zhang, Yufeng Diao, Deqin Yan

Multim. Tools Appl., 2020

Hyperspectral image classification based on discriminative locality preserving broad learning system.

Yonghe Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Yufeng Diao, Xiaochao Fan, Chen Shen

Knowl. Based Syst., 2020

Humor detection via an internal and external neural network.

Xiaochao Fan, Hongfei Lin, Liang Yang, Yufeng Diao, Chen Shen, Yonghe Chu, Yanbo Zou

Neurocomputing, 2020

Discriminative globality-locality preserving extreme learning machine for image classification.

Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Bo Xu, Deqin Yan

Neurocomputing, 2020

Sensitivity-controlled event trigger identification in multi-level biomedical context.

Chen Shen, Hongfei Lin, Zhengguang Li, Yonghe Chu, Zhihao Yang

Int. J. Data Min. Bioinform., 2020

Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition.

Xiaochao Fan, Hongfei Lin, Liang Yang, Yufeng Diao, Chen Shen, Yonghe Chu, Tongxuan Zhang

Complex., 2020

A Multi-Dimension Question Answering Network for Sarcasm Detection.

Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Kan Xu, Di Wu

IEEE Access, 2020

AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation.

Yufeng Diao, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Shaowu Zhang, Hongfei Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Improving Social Recommendations with Item Relationships.

Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Graph-boosted Framework for Adverse Drug Event Detection on Twitter.

Chen Shen, Hongfei Lin, Zhiheng Li, Yonghe Chu, Zhengguang Li, Zhihao Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Globality-Locality Preserving Maximum Variance Extreme Learning Machine.

Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan

Complex., 2019

Biomedical event trigger detection with convolutional highway neural network and extreme learning machine.

Chen Shen, Hongfei Lin, Xiaochao Fan, Yonghe Chu, Zhihao Yang, Jian Wang, Shaowu Zhang

Appl. Soft Comput., 2019

Refining Word Representations by Manifold Learning.

Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Information discriminative extreme learning machine.

Deqin Yan, Yonghe Chu, Haiying Zhang, Deshan Liu

Soft Comput., 2018

Hyperspectral remote sensing image classification with information discriminative extreme learning machine.

Deqin Yan, Yonghe Chu, Lina Li, Deshan Liu

Multim. Tools Appl., 2018